Abstract-Valerie the Roboceptionist is the most recent addition to Carnegie Mellon's Social Robots Project. A permanent installation in the entranceway to Newell-Simon Hall, the robot combines useful functionality-giving directions, looking up weather forecasts, etc.-with an interesting and compelling character. We are using Valerie to investigate human-robot social interaction, especially long-term human-robot "relationships." Over a nine-month period, we have found that many visitors continue to interact with the robot on a daily basis, but that few of the individual interactions last for more than 30 seconds. Our analysis of the data has indicated several design decisions that should facilitate more natural human-robot interactions.

Abstract. We contribute a method for approximating users' interruptibility costs to use for experience sampling and validate the method in an application that learns when to automatically turn off and on the phone volume to avoid embarrassing phone interruptions. We demonstrate that users have varying costs associated with interruptions which indicates the need for personalized cost approximations. We compare different experience sampling techniques to learn users' volume preferences and show those that ask when our cost approximation is low reduce the number of embarrassing interruptions and result in more accurate volume classifiers when deployed for long-term use.

In this video we briefly illustrate the progress and contributions made with our mobile, indoor, service robots CoBots (Collaborative Robots), since their creation in 2009. Many researchers, present authors included, aim for autonomous mobile robots that robustly perform service tasks for humans in our indoor environments. The efforts towards this goal have been numerous and successful, and we build upon them. However, there are clearly many research challenges remaining until we can experience intelligent mobile robots that are fully functional and capable in our human environments.Our research and continuous indoor deployment of the CoBot robots in multi-floor office-style buildings provides multiple contributions, including: robust real-time autonomous localization [1], based on WIFI data [2], and on depth camera information [3]; symbiotic autonomy in which the deployed robots can overcome their perceptual, cognitive, and actuation limitations by proactively asking for help from humans [4], [5], and, in ongoing experiments, from the web [6], [7], and from other robots [8], [9]; human-centered planning in which models of humans are explicitly used in robot task and path planning [10]; semiautonomous telepresence enabling the combination of rich remote visual and motion control with autonomous robot localization and navigation [11]; web-based user task selection and information interfaces [12]; and creative multi-robot task scheduling and execution [12]. Furthermore, we have developed a 3D simulation of the multi-floor, multi-person environment which will allow extensive learning experiments to provide approximate initial models and parameters to be refined with the real robots' experiences. Finally, our robot platform is extremely effective, in particular with its stable low-clearance, omnidirectional base. The CoBot robots were designed and built by Michael Licitra, (mlicitra@cmu.edu), and the base is a scaled-up version of the CMDragons small-size soccer robots [13], also designed and built by Licitra. Remarkably, the robots have operated over 200km for more than three years without any hardware failures, and with minimal maintenance. Our robots purposefully include a modest variety of sensing and computing devices, including the Microsoft Kinect depth-camera, vision cameras for telepresence and interaction, a small Hokuyo LIDAR for obstacle avoidance and localization comparison studies (no longer present in the most recent CoBot-4), a touch-screen and speech-enabled tablet, microphones and speakers, as well as wireless signal access and processing.The CoBot robots can perform multiple classes of tasks:• A single destination task, in which the user asks the robot to go to a specific location-the Go-To-Room task-and, in addition, to deliver a specified spoken message-the Deliver-Message task; • An item transport task, in which the user requests the robot to retrieve an item at a specified location, and to deliver it to a destination location: this Transport task also acts as the task to accompany a person bet...

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